xbutterflyx

xbutterflyx's Stars

• nairouz/R-GAE

  Language:Python5517

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.5k5.6k

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k296

• zfjsail/gae-pytorch

  Graph Auto-Encoder in PyTorch

  Language:Python40977

• gayanku/SCGC

  Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://arxiv.org/abs/2204.12656)

  Language:Python201

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.5k185

• xx025/carrot

  Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

  16.9k1.4k

• nairouz/FT-VGAE

  IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering

  Language:Python201

• dragen1860/GCN-PyTorch

  Graph Convolution Network for PyTorch

  Language:Python38786

• MLEveryday/100-Days-Of-ML-Code

  100-Days-Of-ML-Code中文版

  Language:Jupyter Notebook21.1k5.5k

• googlebaba/WWW2020-O2MAC

  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

  Language:Python8212

• huyuanxin/CMeKGCrawler

  Medical Graph for Neo4j

  Language:Java365277

• king-yyf/CMeKG_tools

  Language:Python1.1k398

• wangsiwei2010/awesome-multi-view-clustering

  collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

  509110

• hszhoushen/Target-Robotics-and-Visions-Journal-Conference

  Target journals and conferences in the field of robotics and computer vision.

  14827

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python785134

• microsoft/Graphormer

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  Language:Python2.1k334

• hugochan/IDGL

  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

  Language:Python22033

• KlugerLab/SpectralNet

  Deep network that performs spectral clustering

  Language:Python320102

• jianhao2016/GPRGNN

  Language:Python12929

• cmavro/Graph-InfoClust-GIC

  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

  Language:Jupyter Notebook348

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k

• yueliu1999/Awesome-Deep-Graph-Clustering

  Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

  Language:Python808141

• ChandlerBang/AutoSSL

  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"

  Language:Python403

• zwt233/NDLS

  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)

  Language:Python201

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.2k2.5k

• xuyxu/Deep-Clustering-Network

  PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

  Language:Python11927

• Tiger101010/DAEGC

  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf

  Language:Python10619

• yueliu1999/DCRN

  [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

  Language:Python21631

• deezer/fastgae

  Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)

  Language:Python266